Towards the next generation of recurrent network models for cognitive neuroscience-Reference-Cited by-同舟云学术

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Towards the next generation of recurrent network models for cognitive neuroscience

Published:2021-10 Issue: Volume:70 Page:182-192
ISSN:0959-4388
Container-title:Current Opinion in Neurobiology
language:en
Short-container-title:Current Opinion in Neurobiology

Author:

Yang Guangyu Robert^ORCID,Molano-Mazón Manuel

Publisher

Elsevier BV

Subject

General Neuroscience

Reference97 articles.

1. Neuronal dynamics regulating brain and behavioral state transitions;Andalman;Cell,2019

2. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;Bai,2018

3. Using fast weights to attend to the recent past;Ba,2016

4. Complex computation from developmental priors;Barabási,2021

5. Recurrent neural networks as versatile tools of neuroscience research;Barak;Curr Opin Neurobiol,2017

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2. Emergence and reconfiguration of modular structure for artificial neural networks during continual familiarity detection;Science Advances;2024-07-26

3. A multi-region recurrent circuit for evidence accumulation in rats;2024-07-11

4. Emergent perceptual biases from state-space geometry in trained spiking recurrent neural networks;Cell Reports;2024-07

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